Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
The highly contentious and arguably irresponsible comments from Alibaba founder Jack Ma around AI and its likelihood of creating a third World War – will have done little to inspire confidence in those that harbour fears around the subject of intelligent machines. For some, the two words placed together spark a sense of dread, trepidation or even fear. For others, it represents the beginning of an exciting new digital world with untold benefits and opportunities. Unfortunately, however, it's often the former, which seems to seep more into people's consciousness. It's perhaps then of little surprise that in a recent survey by the British Science Association (BSA) that 36% of respondents believe that AI will eventually takeover or destroy humanity.
"Nearly 10 years ago, the Department of Commerce issued a technology assessment of the U.S. artificial intelligence (AI) market.... The report estimated the 1993 global AI market - including technologies such as expert systems, neural networks, fuzzy logic, robotics, speech recognition, search, etc. - at about $900 million.... What a difference a decade makes…. In April, Business Communication Company (BCC) will release a thorough new study of the worldwide artificial intelligence market, which it predicts will reach more than $21 billion by 2007 with an average annual growth rate from 2002 to 2007 of 12.2%. In 2002 alone, BCC calculates the worldwide market was $11.9 billion…." Fledgling Robot Industry Aims to Fly High.
Although Switzerland is a small country, it is home to many internationally renowned universities and scientific institutions. The research landscape in Switzerland is rich, and AIrelated themes are investigated by many teams under diverse umbrellas. This column sheds some light on selected developments and trends on AI in Switzerland as perceived by members of the Special Interest group on Artificial Intelligence and Cognitive Science (SGAICO) organizational team, which for more than 30 years has brought together researchers from Switzerland interested in AI and cognitive science. Artificial intelligence research in Switzerland began about the same time as in other European countries. Various teams in academe and industry in Switzerland worked on practical and theoretical problems of interest to the worldwide AI community.
Miniature robots stage a group dance at a smart manufacturing conference in Nanjing, East China's Jiangsu Province on December 7. Photo: VCG Some insiders claim that bubbles are already growing in China's artificial intelligence (AI) sector, following the rapid expansion of the industry. Firms that lack long-term strategies to counteract the emergence of such scenarios may go bankrupt sooner rather than later. Like many attractive industries at their early stages, China's AI domain has been favored by both private capital and the government, Zhu Pinpin, founder of Shanghai Xiaoi Robot Technology Co, told the Global Times on Monday. "To some extent, we expected a bubble, as investors and governments pushed forward expansion of the industry," he said. Opportunities in virtual reality and AI have grown exponentially recently, with both considered good bets on the venture capital (VC) investment circuit, according to a quarterly report that KPMG released in October.
In my last blog, I talked about the simplicity of the electric engine compared to the internal combustion engine and how this changes everything. From climate to the structure of the auto industry to the way we store, manage, and distribute energy, electric cars are having tremendous impact. But what I left out of that discussion was the Internet of Things. The fact is, most electric cars are connected cars – connected through the Internet of Things. This means that sensors in the car constantly communicate with mission control (the manufacturer), sending data on the status of components in real time.
It's November 22, 2028 and Sarah, a young mother, gives her two children a kiss goodbye before buckling them into the driverless car that will bring them to school. Sarah doesn't have a car and has no plans to buy one. Living in a suburb, she has run the numbers and the result is clear: It's much cheaper to order a car only when she needs one. The "robo-taxi" has also made her life easier, but only after such vehicles upended the business models which carmakers had relied on for decades. The revolution is already underway, with every major brand racing to create autonomous electric cars and trucks that will always be just a few clicks of a smartphone away.
China remains the manufacturing powerhouse of the world, but many of its leading players are facing challenges such as overbuilt capacity and weak demand. Revenue growth has slowed, and profitability has stagnated and in some cases declined. While China enjoys some advantages such as mature manufacturing bases, fiscal support, a large base of tech-savvy consumers and more platform players, it also has hurdles such as increasing labour and material costs. Plus, the piecemeal deployment and implementation of investments in digital technologies hinder the ability of Chinese businesses to innovate with connected and intelligent products. Recognising the challenges, in 2015 China launched "Made in China 2025" as part of a road map for the country's latest industrial modernisation.
No one said it would be easy. As automakers, developers, and tech companies pump funds into self-driving, electric, and yes, flying cars, there were bound to be some mistakes along the way. This week, we got a look at a few. A few hours into its first day on the job, a Las Vegas autonomous shuttle got in a fender-bender with a (human-driven) truck. Electric vehicles are facing down a threat in the shape of the Republican tax plan, which could do away with federal subsidies--not quite an industry-buster, but grim news for the burgeoning American EV sector.
A lack of relevant skills could stand in the way of companies adopting new technologies such as artificial intelligence (AI), according to research. Every conference this year contains a dead human genius reincarnated as software system or a robot. Yes, there is a lot of hype, but there is real worth in AI and Machine Learning. Read our counseling on how to avoid adopting "black box" approach. You forgot to provide an Email Address.
"Artificial intelligence is coming for your job." That's been the mantra of skeptics, naysayers, and even pragmatic analysts for years. A quick Google search will yield dozens, if not hundreds, of articles, such as this Mother Jones article by columnist Kevin Drum, on how the expansion of AI and robotics is going to radically shift the job market for the worse as we offload tasks, such as assembly and even driving and customer service, normally performed by humans to machines. Even Bill Gates and politicians in the European Union have voiced concerns over AI contributing to mass unemployment and suggested that perhaps the robots that replace humans should be taxed as a means of funding universal basic income. Proponents of AI will tell workers not to worry, that AI is only going to augment their job, or better yet, take over their menial, repetitive job so that they can move on to a more complex (and assumed more rewarding) position.